Methods, devices, and systems utilizing electric vehicle charging responsive to identified power signatures in an aggregate power waveform

Abstract

The present disclosure describes a device for providing adaptive charging of an electric vehicle (EV). The device includes a memory and at least one processor configured for receiving a set of parameters of an aggregate power waveform carried on a power line from a set of sensors; receiving a set of relationships between a set of power signatures and a set of power sources; determining, using the set of parameters and the set of power signatures, a subset of the set of power signatures represented in the set of parameters; identifying, using the subset of the set of power signatures and the set of relationships between the set of power signatures and the set of power sources, a subset of the set of power sources contributing to the aggregate power waveform; and controlling, responsive to identifying identified subset of the set of power sources, a charging circuit.

What is claimed is: 
     
       1. A device for providing adaptive charging of an electric vehicle (EV), the device comprising:
 a memory; and 
 at least one processor configured for:
 receiving a set of parameters of an aggregate power waveform carried on a power line from a set of sensors; 
 receiving a set of relationships between a set of power signatures and a set of power sources, wherein the set of power signatures includes respective sets of parameters for each power signature in the set of power signatures; 
 determining, using the set of parameters and the set of power signatures, a subset of the set of power signatures represented in the set of parameters; 
 identifying, using the subset of the set of power signatures and the set of relationships between the set of power signatures and the set of power sources, a subset of the set of power sources contributing to the aggregate power waveform; 
 determining a variance between a set of parameters for a power signature in the set of power signatures and the set of parameters of the aggregate power waveform; 
 identifying the power signature in the set of power signatures as represented in the set of parameters of the aggregate power waveform; 
 updating, to include the determined variance, the set of parameters for the power signature in the set of power signatures; and 
 controlling, responsive to identifying identified subset of the set of power sources, a charging circuit, wherein the charging circuit is configured to be electrically coupled between the power line and the EV. 
 
 
     
     
       2. The device of  claim 1 , wherein the set of sensors comprises:
 a voltage monitor configured to sense a voltage waveform; and 
 a current monitor configured to sense a current waveform. 
 
     
     
       3. The device of  claim 2 , wherein the processor is further configured for using the set of parameters for determining a fundamental frequency and a set of harmonics of at least one of the voltage waveform and the current waveform, and determining the subset of the set of power signatures is further based on the fundamental frequency and the set of harmonics. 
     
     
       4. The device of  claim 3 , wherein the processor is further configured for using the set of parameters for determining a stability of the fundamental frequency, and determining the subset of the set of power signatures is further based on the stability of the fundamental frequency. 
     
     
       5. The device of  claim 3 , wherein the processor is further configured for using the set of parameters for determining a waveform stability of at least one of the voltage waveform and the current waveform, and determining the subset of the set of power signatures is further based on the waveform stability. 
     
     
       6. The device of  claim 3 , wherein the processor is further configured for using the set of parameters for determining a waveform shape of at least one of the voltage waveform and the current waveform, and determining the subset of the set of power signatures is further based on the waveform shape. 
     
     
       7. The device of  claim 1  further comprising a network interface configured for receiving at least one of the set of power signatures and the set of relationships between the set of power signatures and the set of power sources. 
     
     
       8. The device of  claim 1 , wherein the processor is further configured for determining a trend the subset of the set of power sources over time, and controlling the charging circuit is further based on the trend. 
     
     
       9. The device of  claim 1 , wherein the processor is further configured for determining a cost associated with charging the EV based on the subset of the set of power sources, and controlling the charging circuit is further based on the cost. 
     
     
       10. The device of  claim 1 , wherein the processor is further configured for receiving EV parameters associated with the EV, and controlling the charging circuit is further based on the EV parameters. 
     
     
       11. The device of  claim 10 , wherein the EV parameters include at least three of:
 a time by which the EV wants to be charged; 
 an amount of charge wanted by the EV; 
 a charging priority of the EV; 
 a state of charge of the EV; 
 a departure time of the EV; and 
 a charge capacity of the EV. 
 
     
     
       12. The device of  claim 10 , wherein EV parameters are determined over an International Standards Organization (ISO) 15118 interface. 
     
     
       13. The device of  claim 1 , wherein the set of power sources includes:
 a utility power feed; 
 a battery; 
 a solar inverter; and 
 a generator. 
 
     
     
       14. The device of  claim 1 , wherein the set of sensors and the charging circuit are coupled to a user premises electrical power ecosystem, behind a utility power meter connected between the user premises electrical power ecosystem and a utility electrical power ecosystem. 
     
     
       15. A programmatic method implemented on at least one processor for adaptive charging of an electric vehicle (EV), the programmatic method comprising:
 receiving a set of parameters of an aggregate power waveform carried on a power line from a set of sensors; 
 receiving a set of relationships between a set of power signatures and a set of power sources, wherein the set of power signatures includes respective sets of parameters for each power signature in the set of power signatures; 
 determining, using the set of parameters and the set of power signatures, a subset of the set of power signatures represented in the set of parameters; 
 identifying, using the subset of the set of power signatures and the set of relationships between the set of power signatures and the set of power sources, a subset of the set of power sources contributing to the aggregate power waveform;
 determining a variance between a set of parameters for a power signature in the set of power signatures and the set of parameters of the aggregate power waveform; 
 identifying the power signature in the set of power signatures as represented in the set of parameters of the aggregate power waveform; 
 
 updating, to include the determined variance, the set of parameters for the power signature in the set of power signatures; and 
 controlling, responsive to identifying identified subset of the set of power sources, a charging circuit, wherein the charging circuit is configured to be electrically coupled between the power line and the EV. 
 
     
     
       16. A non-transitory computer-readable storage medium, the non-transitory computer-readable storage medium storing instructions to be implemented on at least one processor, the instructions when executed by the at least one processor cause a device to perform a programmatic method for adaptive charging of an electric vehicle (EV), the programmatic method comprising:
 receiving a set of parameters of an aggregate power waveform carried on a power line from a set of sensors; 
 receiving a set of relationships between a set of power signatures and a set of power sources, wherein the set of power signatures includes respective sets of parameters for each power signature in the set of power signatures; 
 determining, using the set of parameters and the set of power signatures, a subset of the set of power signatures represented in the set of parameters; 
 identifying, using the subset of the set of power signatures and the set of relationships between the set of power signatures and the set of power sources, a subset of the set of power sources contributing to the aggregate power waveform; 
 determining a variance between a set of parameters for a power signature in the set of power signatures and the set of parameters of the aggregate power waveform; 
 identifying the power signature in the set of power signatures as represented in the set of parameters of the aggregate power waveform; 
 updating, to include the determined variance, the set of parameters for the power signature in the set of power signatures; and 
 controlling, responsive to identifying identified subset of the set of power sources, a charging circuit, wherein the charging circuit is configured to be electrically coupled between the power line and the EV. 
 
     
     
       17. The device of  claim 1 , wherein the set of power sources includes a utility power feed and the subset of the set of power sources includes at least one of a battery, a solar inverter, a generator, a wind power source, a geothermal power source, and a hydropower source.